Missing cases of injury death: use of quantitative methods and case reviews to inform future improvements in case definition.

epidemiology indicators mortality surveillance

Journal

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
ISSN: 1475-5785
Titre abrégé: Inj Prev
Pays: England
ID NLM: 9510056

Informations de publication

Date de publication:
04 2022
Historique:
received: 25 07 2021
accepted: 18 09 2021
pubmed: 18 10 2021
medline: 26 4 2022
entrez: 17 10 2021
Statut: ppublish

Résumé

Knowledge of fatal injuries is required to inform prevention activities. Where hospital patients with an injury principal diagnosis (PDx) died and were certified to a medical underlying cause of death (UCoD), there is the potential to underestimate injury mortality. We sought to characterise injury/non-injury (NI) mismatches between PDx and UCoD by identifying which subgroups had small/large mismatches, and to understand why mismatches had occurred using informative examples. Hospital records (n=10 234) with a PDx of injury were linked to the mortality collection using a unique personal identifier. Percentages UCoD coded to a NI were tabulated, for three follow-up periods and by selected variables. Additionally, we reviewed a sample of 70 records for which there was a mismatch. %NIs were 39%, 66% and 77% for time from injury to death of <1 week, <90 days and <1 year, respectively. Variations in %NI were found for all variables. Illustrative examples of 70 medical UCoD deaths showed that for 12 cases the injury event was unequivocally judged to have resulted in premature death. A further 16 were judged as injury deaths using balance of probability arguments. There is variation in rates of mismatch between PDx of injury and UCoD of NI. While legitimate reasons exist for mismatches in certain groups, a material number of injury deaths are not captured using UCoD alone; a new operational definition of injury death is needed. Early solutions are proposed. Further work is needed to investigate operational definitions with acceptable false positive and negative detection rates.

Sections du résumé

BACKGROUND
Knowledge of fatal injuries is required to inform prevention activities. Where hospital patients with an injury principal diagnosis (PDx) died and were certified to a medical underlying cause of death (UCoD), there is the potential to underestimate injury mortality. We sought to characterise injury/non-injury (NI) mismatches between PDx and UCoD by identifying which subgroups had small/large mismatches, and to understand why mismatches had occurred using informative examples.
METHOD
Hospital records (n=10 234) with a PDx of injury were linked to the mortality collection using a unique personal identifier. Percentages UCoD coded to a NI were tabulated, for three follow-up periods and by selected variables. Additionally, we reviewed a sample of 70 records for which there was a mismatch.
RESULTS
%NIs were 39%, 66% and 77% for time from injury to death of <1 week, <90 days and <1 year, respectively. Variations in %NI were found for all variables. Illustrative examples of 70 medical UCoD deaths showed that for 12 cases the injury event was unequivocally judged to have resulted in premature death. A further 16 were judged as injury deaths using balance of probability arguments.
CONCLUSION
There is variation in rates of mismatch between PDx of injury and UCoD of NI. While legitimate reasons exist for mismatches in certain groups, a material number of injury deaths are not captured using UCoD alone; a new operational definition of injury death is needed. Early solutions are proposed. Further work is needed to investigate operational definitions with acceptable false positive and negative detection rates.

Identifiants

pubmed: 34656990
pii: injuryprev-2021-044371
doi: 10.1136/injuryprev-2021-044371
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

156-164

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Colin Cryer (C)

Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand peter.cryer1951@gmail.com.

Pauline Gulliver (P)

School of Population Health, University of Auckland, Auckland, New Zealand.

Gabrielle Davie (G)

Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.

Ari Samaranayaka (A)

Biostatistics Centre, University of Otago, Dunedin, New Zealand.

Christine Fowler (C)

National Collections and Reporting, Ministry of Health, Wellington, New Zealand.

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Classifications MeSH